Tag: deep learning

Researchers in Ethiopia have built an interpretable deep learning ensemble that identifies malaria parasite species from thin blood smears with ...

Researchers have developed FUS-DETR, a transformer-based AI detector that achieves state-of-the-art accuracy in spotting small drones against cluttered backgrounds in ...

A comprehensive new review in Neural Computing and Applications charts how machine learning and deep learning are transforming lymphoma diagnosis ...

A new CNN–LSTM–attention framework combines SHAP explainability and Marabou formal verification to deliver reliable, interpretable injury risk prediction from physiological ...

Researchers combined UniProt protein embeddings with attention-enhanced deep neural networks to classify plant enzymes with near-perfect accuracy across four major ...

A new prediction-based neural network called RMTA-Net combines recurrent temporal processing, learnable memory banks, and adaptive attention to detect video ...

Researchers have built a two-stage deep learning workflow that converts routine brain MRI into CT-like images and attenuation-corrected PET scans, ...

Researchers have unveiled a diffusion-based framework that fuses text, reference images and sketches with sample-adaptive weighting and iterative user feedback, ...

Researchers compared seven convolutional neural network architectures for detecting diseases and pests in star fruit and found that the classic ...

Researchers in Taiwan combined Temporal Convolutional Networks, Nested LSTMs, signal decomposition, and a mutation-enhanced optimizer to cut wind power forecast ...